diagnostics creates visual
checks of individual models convergence. Numerical
overview of individual models can be obtained by
summary(object, type = "diagnostics"),
or even more detailed information by
summary(object, type = "individual").
diagnostics(
fit,
parameter = NULL,
type,
plot_type = "base",
show_models = NULL,
lags = 30,
title = is.null(show_models) | length(show_models) > 1,
...
)
diagnostics_autocorrelation(
fit,
parameter = NULL,
plot_type = "base",
show_models = NULL,
lags = 30,
title = is.null(show_models) | length(show_models) > 1,
...
)
diagnostics_trace(
fit,
parameter = NULL,
plot_type = "base",
show_models = NULL,
title = is.null(show_models) | length(show_models) > 1,
...
)
diagnostics_density(
fit,
parameter = NULL,
plot_type = "base",
show_models = NULL,
title = is.null(show_models) | length(show_models) > 1,
...
)a fitted RoBSA object
a parameter to be plotted.
type of MCMC diagnostic to be plotted.
Options are "trace" for the chains' trace plots,
"autocorrelation" for autocorrelation of the
chains, and "densities" for the overlaying
densities of the individual chains. Can be abbreviated to
first letters.
whether to use a base plot "base"
or ggplot2 "ggplot" for plotting. Defaults to
"base".
MCMC diagnostics of which models should be
plotted. Defaults to NULL which plots MCMC diagnostics
for a specified parameter for every model that is part of the
ensemble.
number of lags to be shown for
type = "autocorrelation". Defaults to 30.
whether the model number should be displayed in title.
Defaults to TRUE when more than one model is selected.
additional arguments to be passed to the plotting functions.
diagnostics returns either NULL if plot_type = "base"
or an object/list of objects (depending on the number of parameters to be plotted)
of class 'ggplot2' if plot_type = "ggplot2".